• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.06a
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• pp.52-54
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• 2011

모바일 하버는 해상에서 대형 컨테이너선과 연결 후 고속으로 정밀하게 컨테이너를 상 하역해 부두로 이송하는 신개념 해상 운송수단이며, 이 모바일 하버의 자동 Docking시스템은 파도와 바람의 끊임없이 움직이는 두 부유체를 안전하고 신속하게 측면으로 밀착해 일정 거리를 유지하여 컨테이너의 상 하역을 안전하게 도와주는 장치로서, 자동 Docking시스템의 주요 핵심 시스템을 소개하고자 한다. 부두나 항구에 정박하는 선박들의 안전하고 빠른 계류 활용을 위한 안벽 계류 시스템으로 경인항 부두에 응용한다면 효율적인 항구 운용, 선박 및 여객선의 빠르고 안전한 계류, 신항만 운용 기술의 선구자 역할을 담당할 것으로 사료되며, 적절하고 효과적인 활용방안에 대해 언급하고자 한다.

• LOGISTICS
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• s.16
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• pp.51-53
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• 2006

• Journal of Korea Port Economic Association
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• v.29 no.1
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• pp.1-22
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• 2013

Logistics service is one of the most frequently addressed competitive edges exercised by container terminals that face fierce competition. Many of researches have tried to assess the logistics service quality and attempted to propose the strategic ways to manage it. However, it has been known that quality is a multi-dimensional construct and not all quality attributes are viewed as equally important to customers. Each quality attribute has different implications for customer satisfaction. Timko (1993) has developed customer satisfaction (CS) coefficient based on Kano model. The CS coefficient is indicative of how strongly a service quality may influence customer satisfaction. This study attempted to identify the satisfying/dissatisfying quality factors using Kano model and CS coefficient. In so doing, several satisfying and dissatisfying quality attributes in logistics service quality were identified.

• Journal of Korean Port Research
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• v.14 no.2
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• pp.165-173
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• 2000

Major factors that are considered to determine lease charges of container terminals are, among others, construction cost of berth, discount rate, financing cost, and size of annual equivalent recovery. This paper aims to calculate construction costs at PECT and GCT and their annual equivalent recovery on the basis of historical data, and to identify whether or not the relationship of the above result and current lease charges at the two terminals are justifiable.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.06a
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• pp.133-134
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• 2009

선박의 대형화와 함께 해운 항만 시장이 급속히 변화하는 가운데 각 항만들은 항만 경쟁력을 가지기 위해 물동량 예측과 더불어 하역료를 바탕으로 한 부두사용료 수준에 대해 검토를 시행하고 있는 실정이다. 또한 부산북항 재개발과 관련하여 일반부두 폐쇄 및 터미널의 이전이 계획되어지는 가운데, 터미널 임대료 및 물동량 배분에 관한 연구가 활발하게 이루어지고 있다. 따라서 본 논문은 컨테이너 터미널의 주변여건 변화에 따른 컨테이너화물 물동량을 추정 및 예측하고, 기존 사용료 및 부산북항의 특정 터미널을 대상으로 향후 2020년까지의 사용료를 검토하고자 한다.

• 해운
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• no.9 s.43
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• pp.35-36
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• 2007

• 해운
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• no.3 s.26
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• pp.10-20
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• 2006

• Journal of Korea Port Economic Association
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• v.31 no.3
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• pp.155-166
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• 2015

This study selected container terminals of Gwangyang and Busan Ports to evaluate the influence of efficient container terminals. For the study, after data envelopment analysis (DEA) using the CCR and BCC models, the decision-making unit (DMU) system was used to define nodes; and with the use of a reference group in DEA (BCC model) and a lambda value, this study created a social network and analyzed the influences of efficient DMUs through a centrality analysis of eigenvectors. The results are presented as follows: First, as a result of the DEA, CCR efficiencies in PNC, HJNC, and HPNT container terminals of Busan Port were 1 and BCC efficiencies at Singamman Terminal, Wooam Terminal, PNC, HJNC, HPNT, and BNCT container terminals of Busan Port were 1. Second, as a result of undertaking social network analysis (SNA), according to an eigenvector centrality analysis, HJNC Terminal was referred to the most (influence score of 0.515), which indicates that it is the most influential as a container terminal. The influence of PNC Terminal was 0.512, while that of Wooam Terminal was 0.379. CJ Korea Express in Gwangyang Port was ranked fourth in influence, but its influence score of 0.256 indicates that it was the most influential of the container terminals at Gwangyang Port.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2002.03a
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• pp.189-196
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• 2002

As the quantity of transported goods increases, there is a lot of mechanical trouble with loading facilities. So it tremendously produces not only economic loss but also time loss. To reduce the loss from the trouble of leading facilities, it is necessary to analyse the distribution of the problem's occurrence and use the analyzed data to minimize the outbreak of trouble. So the data can be usefully used when designing or manufacturing and it also can be utilized for proper maintenance of operating equipment, frequency of inspection and repair, know-how of checking on equipment and purchasing of spare parts. And it is possible to minimize the loss if the propel maintenance is adapted

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.11a
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• pp.357-357
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• 2018

국제해사기구(IMO)에서는 황산화물(SOx)에 대한 배출 규제를 강화하고 있다. 2020년 1월 1일부터는 황함유량 0.5% 이하 선박연료유 사용을 의무화하고 있다. 그리고 온실가스 배출량 모니터링을 2019년 1월 1월부터 시행하여 총톤수 5천톤 이상 선박은 연료유 사용량을 의무적으로 보고해야 한다. 또한 배출통제구역(Emission Control Area, ECA)이 확대되고 있으며 지역별로도 저유황유 사용 의무화를 도입하는 항만이 증가하고 있다. 이와 같이 항만구역에서 선박 배기가스 배출 규제를 강화하고 있다. 본 연구에서는 컨테이너 물동량이 증가하고 있는 서산 대산항 컨테이너 부두를 중심으로 항만구역에서 배출되는 배기가스를 산출하였다.